Robust Human Interaction Recognition Using Extended Kalman Filter
Source abstract
Abstract
In the field of computer vision and pattern recognition, knowledge based on images of human activity has gained popularity as a research topic. Activity recognition is the process of determining human behavior based on an ima... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Video Surveillance and Tracking Methods · Anomaly Detection Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (30)
Show source-provided references
1. Attention mechanism-based bidirectional long short-term memory for cycling activity recognition using smartphones10.1109/ACCESS.2023.3338137 ↗
2. A novel framework of continuous human-activity recognition using Kinect10.1016/j.neucom.2018.05.042 ↗
3. A novel framework for human action recognition based on features fusion and decision tree
4. Continuous human action recognition for human-machine interaction: A review10.1145/3587931 ↗
5. Deep learning for classifying physical activities from accelerometer data10.3390/s21165564 ↗
6. A review of video-based human activity recognition: Theory, methods and applications
7. A tutorial on human activity recognition using body-worn inertial sensors10.1145/2499621 ↗
8. Human activity recognition with inertial sensors using a deep learning approach
9. Rich learning representations for human activity recognition: How to empower deep feature learning for biological time series10.1016/j.jbi.2022.104180 ↗
10. CIM: A novel clustering-based energy-efficient data imputation method for human activity recognition10.1145/3609111 ↗
11. Subtransfer learning in human activity recognition: Boosting the outlier user accuracy10.1109/JSEN.2023.3312146 ↗
12. Transfer learning for human activity recognition using representational analysis of neural networks10.1145/3563948 ↗
13. A survey on artificial intelligence in posture recognition
14. Sensor data acquisition and multimodal sensor fusion for human activity recognition using deep learning10.3390/s19071716 ↗
15. Action recognition based on CSI signal using improved deep residual network model
16. Enhancing human action recognition with 3D skeleton data: A comprehensive study of deep learning and data augmentation10.3390/electronics13040747 ↗
17. Human action recognition based on embedded HMM
18. A comparative analysis using silhouette extraction methods for dynamic objects in monocular vision10.37256/ccds.3220221201 ↗
19. Texture classification with modified rotation invariant local binary pattern and gradient boosting
20. BRISK: Binary robust invariant scalable keypoints
21. Burger · Digital Image Processing: An Algorithmic Introduction · 2022 · 70910.1007/978-3-031-05744-1_25 ↗
22. Learning features combination for human action recognition from skeleton sequences10.1016/j.patrec.2017.02.001 ↗
23. Video analysis of nonlinear systems with extended Kalman filtering for modal identification10.1007/s11071-023-08560-1 ↗
24. Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training
25. Interactive body part contrast mining for human interaction recognition
26. Pooling the convolutional layers in deep ConvNets for video action recognition10.1109/TCSVT.2017.2682196 ↗
27. Two-person interaction detection using body-pose features and multiple instance learning
28. Few-shot learning of video action recognition only based on video contents
29. Hierarchical recurrent neural network for skeleton based action recognition
30. A robust model of human activity recognition using independent component analysis and XGBoost